Results 61 to 70 of about 922 (173)

Chaotic slime mould optimization algorithm for optimal load-shedding in distribution system

Ain Shams Engineering Journal, 2022
The critical challenge for an efficient islanding operation of a distribution system having Distributed Generation (DG) is preserving the frequency and voltage stability. Contemporary load shedding schemes are inefficient and do not adequately assess the
Md. Shadman Abid, Hasan Jamil Apon, Ashik Ahmed, Khandaker Adil Morshed   +3 more
doaj   +1 more source

Application of Hybrid SMA (Slime Mould Algorithm)-Fuzzy PID Control in Hip Joint Trajectory Tracking of Lower-Limb Exoskeletons in Multi-Terrain Environments

Processes
This paper addresses the challenges of inadequate trajectory tracking accuracy and limited parameter adaptability encountered by hip joints in lower-limb exoskeletons operating across multi-terrain environments. To mitigate these issues, we propose a hybrid control strategy that synergistically combines the slime mould algorithm (SMA) with fuzzy PID ...
Wei Li, Xiaojie Wei, Daxue Sun, Zhuoda Jia, Zhengwei Yue, Tianlian Pang   +5 more
openaire   +1 more source

Bat algorithm based on kinetic adaptation and elite communication for engineering problems

CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1174-1200, August 2025.
Abstract The Bat algorithm, a metaheuristic optimization technique inspired by the foraging behaviour of bats, has been employed to tackle optimization problems. Known for its ease of implementation, parameter tunability, and strong global search capabilities, this algorithm finds application across diverse optimization problem domains. However, in the
Chong Yuan, Dong Zhao, Ali Asghar Heidari, Lei Liu, Shuihua Wang, Huiling Chen, Yudong Zhang   +6 more
wiley   +1 more source

A Multi-Objective Improved Hybrid Butterfly Artificial Gorilla Troop Optimizer for Node Localization in Wireless Sensor Groundwater Monitoring Networks [PDF]

Wireless sensor networks have gained significant attention in recent years due to their wide range of applications in environmental monitoring, surveillance, and other fields.
Claudia Cherubini, M. BalaAnand
core   +1 more source

An advanced binary slime mould algorithm for feature subset selection in structural health monitoring data [PDF]

, 2023
The 2022 Civil Engineering Research in Ireland (CERI) and Irish Transportation Research Network (ITRN) Conference, Dublin, Ireland, 25-26th August 2022Feature selection (FS) is an important task for data analysis, pattern classification systems, and data
Ghiasi, Ramin, Malekjafarian, Abdollah
core   +1 more source

A Hybrid Method Using Slime Mold Algorithm and Genetic Algorithm for Feature Selection Problems in Intrusion Detection Systems

Engineering Reports, Volume 7, Issue 7, July 2025.
In this paper, the slime mold algorithm (SMA) and genetic algorithm (GA) as metaheuristic algorithms are combined to create a novel hybrid intrusion detection (ID) method considering feature selection for classification problems. The effectiveness of this suggested approach is also evaluated in comparison to other well‐known methods like GA, PSO, GOA ...
Soodeh Hosseini, Mahdieh Khorashadizade, Morteza Jouyban   +2 more
wiley   +1 more source

DESIGN AND TECHNO-ECONOMIC ANALYSIS OF DIFFERENT GASIFIERS FOR BIOENERGY APPLICATION [PDF]

, 2022
La exploración y explotación de recursos de energía renovable son de particular importancia para mejorar la seguridad energética para reducir la dependencia de los combustibles fósiles y disminuir los efectos del calentamiento global (reducir las ...
ABD EL-SALTAR HEMAID IBRAHIM, HODA
core  

A Novel Slime Mould Multiverse Algorithm for Global Optimization and Mechanical Engineering Design Problems

International Journal of Computational Intelligence Systems
The slime mould optimization algorithm (SMA) is one of the well-established optimization algorithms with a superior performance in a variety of real-life optimization problems.
Gauri Thakur, Ashok Pal
doaj   +1 more source

An Enhanced Firefly Algorithm Using Pattern Search for Solving Optimization Problems [PDF]

, 2020
Firefly Algorithm (FA) is one of the most recently introduced stochastic, nature-inspired, meta-heuristic approaches used for solving optimization problems.
Ali, Mubashir
core   +1 more source

A New Data-Driven Model to Predict Monthly Runoff at Watershed Scale: Insights from Deep Learning Method Applied in Data-Driven Model [PDF]

Accurate forecasting of mid to long-term runoff is essential for water resources management. However, the traditional model cannot predict well and the precision of runoff forecast needs to be further improved. Here, we proposed a novel data-driven model
Jia, Shunqing, Liu, Zejun, Mao, Boyang, Wang, Xihua, Xu, Y. Jun   +4 more
core   +1 more source